Kazuhiro Maki
- Molecular Biology
- Hematology top 2%
- Genetics top 10%
- Public Health, Environmental and Occupational Health
- Oncology
- Co-authors
- Kinuko MitaniHisamaru HiraiMineo KurokawaYoichi ImaiKoji IzutsuTetsuya YamagataAkira HangaishiShigeru Chiba
- Topics
- Acute Myeloid Leukemia Research (21 papers)Acute Lymphoblastic Leukemia research (7 papers)Chronic Myeloid Leukemia Treatments (5 papers)
- Cited by
- HematologyGeneticsMolecular Biology
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Kazuhiro Maki
37 papers receiving 884 citations
Peers
Comparison fields: 5 of 62
- Molecular Biology 610
- Hematology 443
- Genetics 130
- Public Health, Environmental and Occupational Health 120
- Oncology 117
Countries citing papers authored by Kazuhiro Maki
This map shows the geographic impact of Kazuhiro Maki's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kazuhiro Maki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuhiro Maki more than expected).
Fields of papers citing papers by Kazuhiro Maki
This network shows the impact of papers produced by Kazuhiro Maki. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kazuhiro Maki. The network helps show where Kazuhiro Maki may publish in the future.
Co-authorship network of co-authors of Kazuhiro Maki
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuhiro Maki. A scholar is included among the top collaborators of Kazuhiro Maki based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kazuhiro Maki. Kazuhiro Maki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 11 | |
| 3 | 9 | |
| 4 | 3 | |
| 5 | [CAG-GO therapy for patients with relapsed or primary refractory CD33-positive acute myelogenous leukemia]. | 1 |
| 6 | [CD20-positive peripheral T-cell lymphoma, not otherwise specified]. | 4 |
| 7 | [Extranodal NK/T-cell lymphoma, nasal type, developed in a patient with rheumatoid arthritis]. | 1 |
| 8 | 10 | |
| 9 | 17 | |
| 10 | 20 | |
| 11 | 7 | |
| 12 | 13 | |
| 13 | 63 | |
| 14 | 31 | |
| 15 | 8 | |
| 16 | 22 | |
| 17 | 33 | |
| 18 | 64 | |
| 19 | 189 | |
| 20 | 22 |
About Kazuhiro Maki
Kazuhiro Maki is a scholar working on Hematology, Genetics and Molecular Biology, having authored 37 papers that have together received 898 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (21 papers), Acute Lymphoblastic Leukemia research (7 papers) and Chronic Myeloid Leukemia Treatments (5 papers). The work is most often cited by research in Hematology (443 citations), Genetics (130 citations) and Molecular Biology (610 citations). Kazuhiro Maki has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Kinuko Mitani, Hisamaru Hirai, Mineo Kurokawa, Yoichi Imai, Koji Izutsu, Tetsuya Yamagata, Akira Hangaishi, Shigeru Chiba, Seishi Ogawa and Ko Sasaki. Their work appears in journals such as Blood, Molecular and Cellular Biology and Cancer Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.